Eventbrite, and certain approved third parties, use functional, analytical and tracking cookies (or similar technologies) to understand your event preferences and provide you with a customised experience. By closing this banner or by continuing to use Eventbrite, you agree. For more information please review our cookie policy.

Invalid quantity. Please enter a quantity of 1 or more.

The quantity you chose exceeds the quantity available.

Please enter your name.

Please enter an email address.

Please enter a valid email address.

Please enter your message or comments.

Please enter the code as shown on the image.

Please select the date you would like to attend.

Please enter an email address.

Please enter a valid email address in the To: field.

Please enter a subject for your message.

Please enter a message.

You can only send this invitations to 10 email addresses at a time.

$$$$ is not a properly formatted colour. Please use the format #RRGGBB for all colours.

Please limit your message to $$$$ characters. There are currently ££££.

$$$$ is not a valid email address.

Please enter a promotional code.

N/A

Sold Out

Unavailable

Please enter a password with at least 8 characters.

You have exceeded the time limit and your reservation has been released.

The purpose of this time limit is to ensure that registration is available to as many people as possible. We apologise for the inconvenience.

This option is not available anymore. Please choose a different option.

Apache Spark - Cluster computing made easy

Tuesday, 23 February 2016 from 19:00 to 21:30 (HKT)

Ticket Information

Event Details

Apache Spark - Cluster computing made easy

Apache Spark is a processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical Map Reduce program cannot provide, Spark is the alternative. Spark performs at speeds up to 100 times faster than Map Reduce for iterative algorithms or interactive data mining. As such, Apache Spark represents the next generation of distributed computing platforms. This talk will first discuss the context from which Spark emerged, then explain the concepts and mechanics which give Spark its mix of speed and simplicity, and finally discuss the components built on top of the Spark platform; MLlib, SparkSQL, Spark Streaming and GraphX.

Speaker Bio

Born and raised in a small town in the northern parts of french Canada, Alexandre Beaulne left home to complete a B.Sc. in Neuroscience at McGill university and M.Sc. in Financial Engineering at HEC Montreal. Alex subsequently travelled the world and attended the Recurse Center in NYC, somewhat of a writer retreat for computer programmers. For the best part of the last three years Alex has been learning the ropes as a software developer and data scientist at Eclipse trading, an equity derivatives trading firm headquartered here in HK. When he's not coding, Alex likes to learn more about history and the hike trails in HK and beyond.

Location

NOT 33 Des Voeux Road Central

Garage Society19F, 299 Queen’s Road Central,Hong Kong, Hong Kong

Symbol & Key

Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong’s Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike.

Venue Sponsor

Drinks Sponsor

Terms & Conditions

As part of our sponsorship arrangement, the venue sponsor has the option to add you to their mailing list. To opt out, please let us know at contact@datascience.hk.

Garage Society, 19F,
299 Queen's Road Central,
Sheung Wan, Hong Kong

Hong Kong SAR China

Tuesday, 23 February 2016 from 19:00 to 21:30 (HKT)

Organiser

Symbol & Key is a series of talks organised to support exchanges and foster connections in Hong Kong's Data Science community. The talks are entry-level, but at the vanguard of the discipline, so it should be accessible to aspiring data scientists and experts alike.